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-------------------------------------------------- Train: -------------------------------------------------- Processing rows: 100%|██████████| 54/54 [00:09<00:00, 5.83it/s] Dataset: GTP_Training.txt Accuracy: 0.9193 Precision: 0.2000 Recall: 0.4591 F1 Score: 0.2786 AUC: 0.6973 MCC: 0.2666 -------------------------------------------------- Processing rows: 100%|██████████| 82/82 [00:06<00:00, 12.07it/s] Dataset: GDP_Training.txt Accuracy: 0.9127 Precision: 0.2443 Recall: 0.5586 F1 Score: 0.3400 AUC: 0.7431 MCC: 0.3305 -------------------------------------------------- Processing rows: 100%|██████████| 172/172 [00:12<00:00, 14.15it/s] Dataset: FE_Training.txt Accuracy: 0.9225 Precision: 0.0592 Recall: 0.2592 F1 Score: 0.0964 AUC: 0.5962 MCC: 0.0946 -------------------------------------------------- Processing rows: 100%|██████████| 145/145 [00:10<00:00, 14.23it/s] Dataset: AMP_Training.txt Accuracy: 0.9000 Precision: 0.1379 Recall: 0.3562 F1 Score: 0.1988 AUC: 0.6379 MCC: 0.1767 -------------------------------------------------- Processing rows: 100%|██████████| 206/206 [00:16<00:00, 12.76it/s] Dataset: HEME_Training.txt Accuracy: 0.8829 Precision: 0.1990 Recall: 0.1482 F1 Score: 0.1699 AUC: 0.5478 MCC: 0.1097 -------------------------------------------------- Processing rows: 100%|██████████| 221/221 [00:15<00:00, 13.86it/s] Dataset: ATP_Training.txt Accuracy: 0.9232 Precision: 0.2370 Recall: 0.4124 F1 Score: 0.3010 AUC: 0.6785 MCC: 0.2749 -------------------------------------------------- Processing rows: 100%|██████████| 335/335 [00:24<00:00, 13.79it/s] Dataset: DNA_Training.txt Accuracy: 0.8784 Precision: 0.1866 Recall: 0.1382 F1 Score: 0.1588 AUC: 0.5418 MCC: 0.0961 -------------------------------------------------- Processing rows: 100%|██████████| 296/296 [00:22<00:00, 13.25it/s] Dataset: ADP_Training.txt Accuracy: 0.9195 Precision: 0.2168 Recall: 0.4417 F1 Score: 0.2908 AUC: 0.6899 MCC: 0.2716 -------------------------------------------------- Processing rows: 100%|██████████| 334/334 [00:25<00:00, 13.35it/s] Dataset: MN_Training.txt Accuracy: 0.9222 Precision: 0.0587 Recall: 0.3269 F1 Score: 0.0995 AUC: 0.6285 MCC: 0.1124 -------------------------------------------------- Processing rows: 100%|██████████| 1152/1152 [01:25<00:00, 13.45it/s] Dataset: ZN_Training.txt Accuracy: 0.9192 Precision: 0.0366 Recall: 0.1773 F1 Score: 0.0606 AUC: 0.5538 MCC: 0.0503 -------------------------------------------------- Processing rows: 100%|██████████| 1131/1131 [01:23<00:00, 13.47it/s] Dataset: MG_Training.txt Accuracy: 0.9192 Precision: 0.0438 Recall: 0.3083 F1 Score: 0.0767 AUC: 0.6171 MCC: 0.0913 -------------------------------------------------- Processing rows: 100%|██████████| 961/961 [01:11<00:00, 13.36it/s] Dataset: CA_Training.txt Accuracy: 0.9095 Precision: 0.0413 Recall: 0.1976 F1 Score: 0.0683 AUC: 0.5596 MCC: 0.0564 -------------------------------------------------- Test: -------------------------------------------------- Processing rows: 100%|██████████| 27/27 [00:03<00:00, 8.91it/s] Dataset: HEME_Validation.txt Accuracy: 0.9021 Precision: 0.1515 Recall: 0.1207 F1 Score: 0.1344 AUC: 0.5376 MCC: 0.0838 -------------------------------------------------- Processing rows: 100%|██████████| 7/7 [00:01<00:00, 6.24it/s] Dataset: GTP_Validation.txt Accuracy: 0.9096 Precision: 0.2412 Recall: 0.4607 F1 Score: 0.3166 AUC: 0.6958 MCC: 0.2897 -------------------------------------------------- Processing rows: 100%|██████████| 14/14 [00:01<00:00, 8.16it/s] Dataset: GDP_Validation.txt Accuracy: 0.9186 Precision: 0.2846 Recall: 0.5515 F1 Score: 0.3754 AUC: 0.7436 MCC: 0.3578 -------------------------------------------------- Processing rows: 100%|██████████| 26/26 [00:02<00:00, 11.64it/s] Dataset: FE_Validation.txt Accuracy: 0.9383 Precision: 0.0676 Recall: 0.2917 F1 Score: 0.1097 AUC: 0.6193 MCC: 0.1174 -------------------------------------------------- Processing rows: 100%|██████████| 58/58 [00:04<00:00, 13.79it/s] Dataset: MN_Validation.txt Accuracy: 0.9161 Precision: 0.0542 Recall: 0.3207 F1 Score: 0.0927 AUC: 0.6224 MCC: 0.1042 -------------------------------------------------- Processing rows: 100%|██████████| 33/33 [00:02<00:00, 13.63it/s] Dataset: AMP_Validation.txt Accuracy: 0.9044 Precision: 0.1682 Recall: 0.4107 F1 Score: 0.2387 AUC: 0.6669 MCC: 0.2197 -------------------------------------------------- Processing rows: 100%|██████████| 52/52 [00:04<00:00, 12.43it/s] Dataset: DNA_Validation.txt Accuracy: 0.9150 Precision: 0.1609 Recall: 0.1192 F1 Score: 0.1370 AUC: 0.5410 MCC: 0.0944 -------------------------------------------------- Processing rows: 100%|██████████| 50/50 [00:03<00:00, 13.51it/s] Dataset: ATP_Validation.txt Accuracy: 0.9141 Precision: 0.1873 Recall: 0.3879 F1 Score: 0.2526 AUC: 0.6612 MCC: 0.2289 -------------------------------------------------- Processing rows: 100%|██████████| 47/47 [00:03<00:00, 12.76it/s] Dataset: ADP_Validation.txt Accuracy: 0.9282 Precision: 0.2120 Recall: 0.4417 F1 Score: 0.2865 AUC: 0.6931 MCC: 0.2727 -------------------------------------------------- Processing rows: 100%|██████████| 176/176 [00:13<00:00, 13.51it/s] Dataset: ZN_Validation.txt Accuracy: 0.9224 Precision: 0.0418 Recall: 0.1855 F1 Score: 0.0682 AUC: 0.5597 MCC: 0.0582 -------------------------------------------------- Processing rows: 100%|██████████| 165/165 [00:12<00:00, 13.35it/s] Dataset: CA_Validation.txt Accuracy: 0.9146 Precision: 0.0366 Recall: 0.1949 F1 Score: 0.0616 AUC: 0.5600 MCC: 0.0537 -------------------------------------------------- Processing rows: 100%|██████████| 217/217 [00:16<00:00, 13.36it/s] Dataset: MG_Validation.txt Accuracy: 0.9227 Precision: 0.0370 Recall: 0.2242 F1 Score: 0.0635 AUC: 0.5775 MCC: 0.0650 -------------------------------------------------- |